Digital identities

YouTube under fire for AI video edits without creator consent

Anger grows as YouTube secretly alters some uploaded videos using machine learning. The company admitted that it had been experimenting with automated edits, which sharpen images, smooth skin, and enhance clarity, without notifying creators.

Although tools like ChatGPT or Gemini did not generate these changes, they still relied on AI.

The issue has sparked concern among creators, who argue that the lack of consent undermines trust.

YouTuber Rhett Shull publicly criticised the platform, prompting YouTube liaison Rene Ritchie to clarify that the edits were simply efforts to ‘unblur and denoise’ footage, similar to smartphone processing.

However, creators emphasise that the difference lies in transparency, since phone users know when enhancements are applied, whereas YouTube users were unaware.

Consent remains central to debates around AI adoption, especially as regulation lags and governments push companies to expand their use of the technology.

Critics warn that even minor, automatic edits can treat user videos as training material without permission, raising broader concerns about control and ownership on digital platforms.

YouTube has not confirmed whether the experiment will expand or when it might end.

For now, viewers noticing oddly upscaled Shorts may be seeing the outcome of these hidden edits, which have only fuelled anger about how AI is being introduced into creative spaces.

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AI controversy surrounds Will Smith’s comeback shows

Footage from Will Smith’s comeback tour has sparked claims that AI was used to alter shots of the crowd. Viewers noticed faces appearing blurred or distorted, along with extra fingers and oddly shaped hands in several clips.

Some accused Smith of boosting audience shots with AI, while others pointed to YouTube, which has been reported to apply AI upscaling without creators’ knowledge.

Guitarist and YouTuber Rhett Shull recently suggested the platform had altered his videos, raising concerns that artists might be wrongly accused of using deepfakes.

The controversy comes as the boundary between reality and fabrication grows increasingly uncertain. AI has been reshaping how audiences perceive authenticity, from fake bands to fabricated images of music legends.

Singer SZA is among the artists criticising the technology, highlighting its heavy energy use and potential to undermine creativity.

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AI chatbots found unreliable in suicide-related responses, according to a new study

A new study by the RAND Corporation has raised concerns about the ability of AI chatbots to answer questions related to suicide and self-harm safely.

Researchers tested ChatGPT, Claude and Gemini with 30 different suicide-related questions, repeating each one 100 times. Clinicians assessed the queries on a scale from low to high risk, ranging from general information-seeking to dangerous requests about methods of self-harm.

The study revealed that ChatGPT and Claude were more reliable at handling low-risk and high-risk questions, avoiding harmful instructions in dangerous scenarios. Gemini, however, produced more variable results.

While all three ΑΙ chatbots sometimes responded appropriately to medium-risk questions, such as offering supportive resources, they often failed to respond altogether, leaving potentially vulnerable users without guidance.

Experts warn that millions of people now use large language models as conversational partners instead of trained professionals, which raises serious risks when the subject matter involves mental health. Instances have already been reported where AI appeared to encourage self-harm or generate suicide notes.

The RAND team stressed that safeguards are urgently needed to prevent such tools from producing harmful content in response to sensitive queries.

The study also noted troubling inconsistencies. ChatGPT and Claude occasionally gave inappropriate details when asked about hazardous methods, while Gemini refused even basic factual queries about suicide statistics.

Researchers further observed that ChatGPT showed reluctance to recommend therapeutic resources, often avoiding direct mention of safe support channels.

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Coinbase CEO fired engineers who refused to adopt AI tools

Coinbase CEO Brian Armstrong has revealed that he fired engineers who refused to begin using AI coding tools after the company adopted GitHub Copilot and Cursor. Armstrong shared the story during a podcast hosted by Stripe co-founder John Collison.

Engineers were told to onboard with the tools within a week. Armstrong arranged a Saturday meeting for those who had not complied and said that employees without valid reasons would be dismissed. Some were excused due to holidays, while others were let go.

Collison raised concerns about relying too heavily on AI-generated code, prompting Armstrong to agree. Past reports have described challenges with managing code produced by AI, even at companies like OpenAI. Coinbase did not comment on the matter.

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Global tech competition intensifies as the UK outlines a £1 trillion digital blueprint

The United Kingdom has unveiled a strategy to grow its digital economy to £1 trillion by harnessing AI, quantum computing, and cybersecurity. The plan emphasises public-private partnerships, training, and international collaboration to tackle skills shortages and infrastructure gaps.

The initiative builds on the UK tech sector’s £1.2 trillion valuation, with regional hubs in cities such as Bristol and Manchester fuelling expansion in emerging technologies. Experts, however, warn that outdated systems and talent deficits could stall progress unless workforce development accelerates.

AI is central to the plan, with applications spanning healthcare and finance. Quantum computing also features, with investments in research and cybersecurity aimed at strengthening resilience against supply disruptions and future threats.

The government highlights sustainability as a priority, promoting renewable energy and circular economies to ensure digital growth aligns with environmental goals. Regional investment in blockchain, agri-tech, and micro-factories is expected to create jobs and diversify innovation-driven growth.

By pursuing these initiatives, the UK aims to establish itself as a leading global tech player alongside the US and China. Ethical frameworks and adaptive strategies will be key to maintaining public trust and competitiveness.

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AI-designed proteins could transform longevity and drug development

OpenAI has launched GPT-4b micro, an AI model developed with longevity startup Retro Biosciences to accelerate protein engineering. Unlike chatbots, it focuses on biological sequences and 3D structures.

The model redesigned two Yamanaka factors- proteins that convert adult cells into stem cells, showing 50-fold higher efficiency in lab tests and improved DNA repair. Older cells acted more youthful, potentially shortening trial-and-error in regenerative medicine.

AI-designed proteins could speed up drug development and allow longevity startups to rejuvenate cells safely and consistently. The work also opens new possibilities in synthetic biology beyond natural evolution.

OpenAI emphasised that the research is still early and lab-based, with clinical applications requiring caution. Transparency is key, as the technology’s power to design potent proteins quickly raises biosecurity considerations.

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Mount Fuji eruption simulated in an AI video for Tokyo

Residents of Tokyo have been shown a stark warning of what could happen if Mount Fuji erupts.

The metropolitan government released a three-minute AI-generated video depicting the capital buried in volcanic ash to raise awareness and urge preparation.

The simulation shows thick clouds of ash descending on Shibuya and other districts about one to two hours after an eruption, with up to 10 centimetres expected to accumulate. Unlike snow, volcanic ash does not melt away but instead hardens, damages powerlines, and disrupts communications once wet.

The video also highlights major risks to transport. Ash on train tracks, runways, and roads would halt trains, ground planes, and make driving perilous.

Two-wheel vehicles could become unusable under even modest ashfall. Power outages and shortages of food and supplies are expected as shops run empty, echoing the disruption seen after the 2011 earthquake.

Officials advise people to prepare masks, goggles, and at least three days of emergency food. The narrator warns that because no one knows when Mount Fuji might erupt, daily preparedness in Japan is vital to protect health, infrastructure, and communities.

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Hong Kong deepfake scandal exposes gaps in privacy law

The discovery of hundreds of non-consensual deepfake images on a student’s laptop at the University of Hong Kong has reignited debate about privacy, technology, and accountability. The scandal echoes the 2008 Edison Chen photo leak, which exposed gaps in law and gender double standards.

Unlike stolen private images, today’s fabrications are AI-generated composites that can tarnish reputations with a single photo scraped from social media. The dismissal that such content is ‘not real’ fails to address the damage caused by its existence.

The legal system of Hong Kong struggles to keep pace with this shift. Its privacy ordinance, drafted in the 1990s, was not designed for machine-learning fabrications, while traditional harassment and defamation laws predate the advent of AI. Victims risk harm before distribution is even proven.

The city’s privacy watchdog has launched a criminal investigation, but questions remain over whether creation or possession of deepfakes is covered by existing statutes. Critics warn that overreach could suppress legitimate uses, yet inaction leaves space for abuse.

Observers argue that just as the snapshot camera spurred the development of modern privacy law, deepfakes must drive a new legal boundary to safeguard dignity. Without reform, victims may continue facing harm without recourse.

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Ransomware attack at DaVita exposes data of 2.7 million patients in the US

A ransomware attack against dialysis provider DaVita has exposed the personal data of 2.7 million people, according to a notice on the US health department’s website.

The company first disclosed the cyber incident in April, saying it had taken steps to restore operations but could not predict the scale of disruption.

DaVita confirmed that hackers gained unauthorised access to its laboratory database, which contained sensitive information belonging to some current and former patients. The firm said it is now contacting those affected and offering free credit monitoring to help protect against identity theft.

Despite the intrusion, DaVita maintained uninterrupted dialysis services across its network of nearly 3,000 outpatient clinics and home treatment programmes. The company described the cyberattack as a temporary disruption but stressed that patient care was never compromised.

Financial disclosures show the incident led to around $13.5 million in charges during the second quarter of 2025. Most of the costs were linked to system restoration and third-party support, with $1 million attributed to higher patient care expenses.

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Students seek emotional support from AI chatbots

College students are increasingly turning to AI chatbots for emotional support, prompting concern among mental health professionals. A 2025 report ranked ‘therapy and companionship’ as the top use case for generative AI, particularly among younger users.

Studies by MIT and OpenAI show that frequent AI use can lower social confidence and increase avoidance of face-to-face interaction. On campuses, digital mental health platforms now supplement counselling services, offering tools that identify at-risk students and provide basic support.

Experts warn that chatbot companionship may create emotional habits that lack grounding in reality and hinder social skill development. Counsellors advocate for educating students on safe AI use and suggest universities adopt tools that flag risky engagement patterns.

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